Otimização na coleta de resíduos sólidos através de um modelo de designação
Operational Research proves to be an important tool for organizations to optimize results. Finding the best mathematical model for real problems always differs from a successful company. Among the highlights of the Operational Research, transportation problems, especially the designation of routes,...
| Autor principal: | Lopes, André Leonardo Franson |
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| Formato: | Trabalho de Conclusão de Curso (Graduação) |
| Idioma: | Português |
| Publicado em: |
Universidade Tecnológica Federal do Paraná
2020
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| Assuntos: | |
| Acesso em linha: |
http://repositorio.utfpr.edu.br/jspui/handle/1/12278 |
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| Resumo: |
Operational Research proves to be an important tool for organizations to optimize results. Finding the best mathematical model for real problems always differs from a successful company. Among the highlights of the Operational Research, transportation problems, especially the designation of routes, consist of establishing the best routes to reduce the costs of the operation, be it delivery, collection or even the two simultaneously. As shown by several authors, the determination of a route to optimize the collection of waste became the main objective for the companies responsible for the collection and destination of waste. Thus, in this work, the main objective is the optimization of the garbage collection routes performed by a company in the north of Paraná, mainly using the designation of routes to better allocation of collection trucks. As a methodology, the field research has used to obtain the most important data of the studied company, such as the distances between the sectors and the capacity of the trucks, as well as the construction of the model and transcription of the data for the constructed mathematical model calculation. As results, a better distribution of the total distance traveled during the week has observed, as well as a reduction of approximately 12% in the days of greater demand. In addition, the total weekly distance reduced by 5%, which means reducing maintenance costs, fuel consumption and emission of pollutants. |
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